Residuals Day 1

Front

What is a residual in statistics?

Back

A residual is the difference between the observed value and the predicted value in a regression analysis.

Front

How do you calculate a residual?

Back

Residual = Observed - Predicted

Front

What does a positive residual indicate?

Back

A positive residual indicates that the observed value is greater than the predicted value.

Front

What does a negative residual indicate?

Back

A negative residual indicates that the observed value is less than the predicted value.

Front

What is the purpose of a residual plot?

Back

A residual plot is used to assess the fit of a regression model by plotting residuals on the vertical axis and predicted values on the horizontal axis.

Front

What does it mean if a residual plot shows a random pattern?

Back

A random pattern in a residual plot suggests that a linear regression model is appropriate for the data.

Front

What does it mean if a residual plot shows a clear pattern?

Back

A clear pattern in a residual plot suggests that a linear regression model may not be appropriate for the data.

Front

What is the correlation coefficient?

Back

The correlation coefficient (r) measures the strength and direction of a linear relationship between two variables.

Front

What is the range of the correlation coefficient?

Back

The correlation coefficient ranges from -1 to 1.

Front

What does an r value of 0 indicate?

Back

An r value of 0 indicates no correlation between the variables.